Identification of serum tumor markers for malignant disease using high-throughput proteomic technologies

碩士 === 長庚大學 === 醫學生物技術研究所 === 92 === Background: Malignant tumors are at the top leading cause of death in Taiwan in the past decades. Currently, there is no serum marker for detecting oral or nasopharyngeal cancers (ORC or NPC), neither available serum marker with high sensitivity and specificity f...

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Main Authors: Li-chiu Chen, 陳麗秋
Other Authors: Ann-joy Cheng
Format: Others
Language:zh-TW
Published: 2004
Online Access:http://ndltd.ncl.edu.tw/handle/73930771765341250337
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spelling ndltd-TW-092CGU006040022016-01-04T04:08:38Z http://ndltd.ncl.edu.tw/handle/73930771765341250337 Identification of serum tumor markers for malignant disease using high-throughput proteomic technologies 利用高效能蛋白技術鑑定惡性疾病之血清腫瘤標誌 Li-chiu Chen 陳麗秋 碩士 長庚大學 醫學生物技術研究所 92 Background: Malignant tumors are at the top leading cause of death in Taiwan in the past decades. Currently, there is no serum marker for detecting oral or nasopharyngeal cancers (ORC or NPC), neither available serum marker with high sensitivity and specificity for breast, lung, and prostate cancers (BC, LC, and PC). Methods: Affinity purification with magnet beads and MALDI-TOF mass spectrometry analysis were used to screen and identify potential serum tumor markers for BC, LC, PC, ORC, and NPC. Compiled protein profile of each cancer group was compared to normal samples, and the differential spectra were statistically analyzed using bioinformatic softwares. Results: Since Cu bead can discriminate most differential spectra between normal and tumor group, it was used for protein profiling. Among the five tested malignant diseases except breast cancer, several markers with high sensitivity (>80%) and specificity (>90%) were found. They are 4 LC-specific markers with molecular weight of 2878±5, 3809±5, 4975±5, and 8610±5; 2 PC-specific markers with molecular weight of 1892±5 and 2022±5; 1 ORC-specific marker with molecular weight of 2664±5; and 1 NPC-specific marker with molecular weight of 2020±5. After combination of two NPC-specific markers, the detecting sensitivity was greatly increased (94%0. Finally, two most sensitive and specific markers were identified with a PC and NPC marker (2020 Da) and an ORC marker (2658 Da). They are complement C3 precursor and alpha fibrinogen, respectively. Conclusion: High-throughput proteomic approach could greatly facilitate the discovery of novel and better serum markers. 4 LC-specific markers, 2 PC-specific markers, 1 ORC-specific marker and 1 NPC-specific marker were found. The high specificity and sensitivity achieved by the use of these tumor-specific markers show great potential for the detection of the malignant diseases. Ann-joy Cheng 鄭恩加 2004 學位論文 ; thesis 0 zh-TW
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language zh-TW
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description 碩士 === 長庚大學 === 醫學生物技術研究所 === 92 === Background: Malignant tumors are at the top leading cause of death in Taiwan in the past decades. Currently, there is no serum marker for detecting oral or nasopharyngeal cancers (ORC or NPC), neither available serum marker with high sensitivity and specificity for breast, lung, and prostate cancers (BC, LC, and PC). Methods: Affinity purification with magnet beads and MALDI-TOF mass spectrometry analysis were used to screen and identify potential serum tumor markers for BC, LC, PC, ORC, and NPC. Compiled protein profile of each cancer group was compared to normal samples, and the differential spectra were statistically analyzed using bioinformatic softwares. Results: Since Cu bead can discriminate most differential spectra between normal and tumor group, it was used for protein profiling. Among the five tested malignant diseases except breast cancer, several markers with high sensitivity (>80%) and specificity (>90%) were found. They are 4 LC-specific markers with molecular weight of 2878±5, 3809±5, 4975±5, and 8610±5; 2 PC-specific markers with molecular weight of 1892±5 and 2022±5; 1 ORC-specific marker with molecular weight of 2664±5; and 1 NPC-specific marker with molecular weight of 2020±5. After combination of two NPC-specific markers, the detecting sensitivity was greatly increased (94%0. Finally, two most sensitive and specific markers were identified with a PC and NPC marker (2020 Da) and an ORC marker (2658 Da). They are complement C3 precursor and alpha fibrinogen, respectively. Conclusion: High-throughput proteomic approach could greatly facilitate the discovery of novel and better serum markers. 4 LC-specific markers, 2 PC-specific markers, 1 ORC-specific marker and 1 NPC-specific marker were found. The high specificity and sensitivity achieved by the use of these tumor-specific markers show great potential for the detection of the malignant diseases.
author2 Ann-joy Cheng
author_facet Ann-joy Cheng
Li-chiu Chen
陳麗秋
author Li-chiu Chen
陳麗秋
spellingShingle Li-chiu Chen
陳麗秋
Identification of serum tumor markers for malignant disease using high-throughput proteomic technologies
author_sort Li-chiu Chen
title Identification of serum tumor markers for malignant disease using high-throughput proteomic technologies
title_short Identification of serum tumor markers for malignant disease using high-throughput proteomic technologies
title_full Identification of serum tumor markers for malignant disease using high-throughput proteomic technologies
title_fullStr Identification of serum tumor markers for malignant disease using high-throughput proteomic technologies
title_full_unstemmed Identification of serum tumor markers for malignant disease using high-throughput proteomic technologies
title_sort identification of serum tumor markers for malignant disease using high-throughput proteomic technologies
publishDate 2004
url http://ndltd.ncl.edu.tw/handle/73930771765341250337
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